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This paper presents optimal power flow management in real time for grid connected photovoltaic (PV)–battery system. The objective is the real time, dynamic and optimal scheduling of battery storage which reduces grid power consumption and achieves the peak load shaving. For this purpose, two strategies are developed; one is rule-based and other is optimization algorithm based. Two strategies are compared, pros and cons of those strategies are established. Though rule-based technique is simple & easy to implement, the optimization technique provides more optimal regulation of battery which provides the lesser electricity cost. Forecasted PV/load powers are used to get optimal value of battery power. In order to handle uncertainties due to forecasted data, fuzzy-based corrective strategy is developed to modify the reference battery power as per the present values of PV/load powers. The proposed analysis is carried out for over one exemplary day. The simulations are presented using typical load/PV data of India and Finland as a part of research collaboration. Experimental results are also carried out using proposed scheme. [ABSTRACT FROM AUTHOR]

By using a decentralized energy-planning (DEP) approach, this paper shows that biomass-based energy systems have the potential to meet all the rural energy needs from village to district level. DEP has been formulated and applied to a typical Indian district (Tumkur). The main purpose of this study is to examine the economic feasibility of bioenergy for use in rural areas. Model analysis shows that the cost of producing biomass is very low per capita at the household level. Energy plantations could be raised on available degraded areas or wastelands. The biomass feedstock that can be produced from plantations is shown to be adequate to meet all the electricity needs of the village by using biomass gasification technology. Electricity demands can be met by using biomass power generation systems on the basis of biomass feedstock from energy plantations on available wastelands. [ABSTRACT FROM AUTHOR]